You need to use is.na(df1[,i]) to test for NA. Andy
From: dscully at fd9ns01.okladot.state.ok.us
A<-c(1,2,NA,7,5)
B<-c(3,4,1,4,1)
C<-c(6,5,6,NA,9)
D<-c(8,7,4,6,2)
df1<-cbind(A,B,C,D)
for(i in seq(1,ncol(df1)-1, by=2)) {
ifelse(df1[,i]=="NA",df1[,i+1]=="NA",df1[,] ) }
Tried several variations but none worked. I wish to find any NA's in
column's 1 or 3 and change the numerical value to the right of the "
NA"'s . In this case I wish to replace the 1 and 6
respectively with "NA".
Any help would be appreciated.
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